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Gene expression analysis and classification using XGBoost and Differential Expression Analysis (DES)

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BIOINNOVATE

Gene expression analysis and classification using XGBoost and Differential Expression Analysis (DES)

Developed with Jupyter Notebook.

Jupyter


🔗 Quick Links


📍 Overview

BioInnovate performs gene expression analysis and classification using XGBoost. It includes Differential Expression Analysis (DES) to identify significant gene changes and evaluate model performance.


📦 Features

XGBoost Classification: Utilizes XGBoost for gene expression classification Differential Expression Analysis (DES): Identifies differentially expressed genes Visualization: Includes feature importance and correlation heatmaps


📂 Repository Structure

└── BioInnovate/
    ├── GSE250323.csv
    ├── README.md
    ├── Visuals.ipynb
    └── Modeling.ipynb

🧩 Files

.
File Summary
Visuals.ipynb Implements Differential Expression Analysis and visualizations
Modeling.ipynb Trains and evaluates XGBoost classifier, analyzes feature importance

🚀 Getting Started

Requirements

Ensure you have the following dependencies installed on your system:

  • JupyterNotebook: version v6

⚙️ Installation

  1. Clone the BioInnovate repository:
git clone https://github.com/Saherpathan/BioInnovate
  1. Change to the project directory:
cd BioInnovate
  1. Install the dependencies:
pip install -r requirements.txt

🤖 Running BioInnovate

Use the following command to run BioInnovate:

jupyter nbconvert --execute Visuals.ipynb
jupyter nbconvert --execute Modeling.ipynb

🤝 Contributing

Contributions are welcome! Here are several ways you can contribute:

Contributing Guidelines
  1. Fork the Repository: Start by forking the project repository to your GitHub account.
  2. Clone Locally: Clone the forked repository to your local machine using a Git client.
    git clone https://github.com/Saherpathan/BioInnovate
  3. Create a New Branch: Always work on a new branch, giving it a descriptive name.
    git checkout -b new-feature-x
  4. Make Your Changes: Develop and test your changes locally.
  5. Commit Your Changes: Commit with a clear message describing your updates.
    git commit -m 'Implemented new feature x.'
  6. Push to GitHub: Push the changes to your forked repository.
    git push origin new-feature-x
  7. Submit a Pull Request: Create a PR against the original project repository. Clearly describe the changes and their motivations.

Once your PR is reviewed and approved, it will be merged into the main branch.


📄 License

This project is protected under the MIT License.


👏 Acknowledgments

  • Data: Gene expression data from GSE250323.
  • Libraries: XGBoost, Jupyter Notebook, and Seaborn for analysis and visualization.

👥 Contributors

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